A High-Sensitivity, Microtiter-Based Plate Assay for Plant Pattern-Triggered Immunity
Bibliographic record
Abstract
The first step in the plant immune response to pathogen challenge involves the perception of conserved epitopes, called microbe-associated molecular patterns (MAMPs), by cell-surface pattern recognition receptors (PRRs). Given the key roles that MAMPs and PRRs play in plant innate immunity, great effort has been expended to identify these molecules. Current methods for assaying these immune responses are often limited in their resolution and throughput, and consequently, there is a need for medium- to high-throughput methodologies. Here, we describe the development of a 96-well microtiter plate-based assay for plant pattern-triggered immunity that measures the activity of plant peroxidase (POX) enzymes produced in response to treatment with bacterial MAMPs. The system has been optimized to minimize both the amount of plant tissue and MAMPs required and displays up to three orders of magnitude greater sensitivity than the traditional luminol-based reactive oxygen species assay when measuring the plant response to treatment with the bacterial MAMP flg22, reaching detection limits in the picomolar range. This high sensitivity opens the possibility of evaluating the immune-eliciting effects of weaker elicitors. The throughput and material requirements of the assay make it ideal for screens involving quantitative measurement of the plant innate immune response to MAMPs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".